OKX
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Trading Service team provides core order and position management system for the exchange. It is the backbone of our industry-leading trading product used by millions of users. Within this, the Trading Data sub-team takes ownership of trading and market data analytics. We constantly strive to push the limits of data-driven decision-making, empowering our global users with smarter insights. Our mission is to refine accuracy, reduce latency, and enhance the decision-making scope for our users, ensuring they stay ahead in an ever-evolving market. Join our elite Trading Service team as a Senior Staff Software Engineer, where you will be working with an exceptional team to lead mission-critical, data-intensive projects that directly impact millions of users on their crypto investment journeys. You'll leverage your expertise to design and build data applications that provide distinguishable precision, speed, and insights. Additionally, you will play a key role in driving innovation for our data foundations, ensuring we deliver highly reliable and scalable solutions that meet the needs of a rapidly evolving market. What You’ll Be Doing - Lead the design and development of high-performance, real-time, data-intensive applications for the trading domain - Leverage AI coding tools as part of your daily engineering workflow to accelerate delivery and code quality - Drive future-proof innovative data solutions to solve problems at scale - Lead projects with an Agile mindset, ensuring timely delivery and continuous improvement - Collaborate cross-functionally with product managers, Front End, QA and Infra engineers to get things done - Uphold best practices in code quality, performance optimization, and data management are upheld across the team - Mentor and support junior engineers, helping them grow their technical expertise What We Look For In You - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field (or a strong STEM education background) - 5 years of hands-on experience in the big data domain with a proven track record of solving complex data challenges - Demonstrated success in driving and delivering solutions to challenging data-related problems - Expertise in semi-structure data, data processing pipelines, data modeling, and OLAP solutions - A solid educational background in STEM (Science, Technology, Engineering, Mathematics), preferably Masters in Computer Science or above - Excellent logical thinking and problem-solving skills - A natural curiosity with the ability to navigate uncertainty and a keen attention to detail Nice to Haves - Deep understanding of modern even-driven architecture - Experiences in search and recommendation systems - Familiarity and interests in cutting-edge data technologies like PolarDB, TiDB, Starrocks and Clickhouse etc - Experience of working with multi-region and multi-cultural teams is a plus Perks & Benefits - Competitive total compensation package - L&D programs and Education subsidy for employees' growth and development - Various team building programs and company events - Wellness and meal allowances - Comprehensive healthcare schemes for employees and dependants - More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field (or a strong STEM education background). 5 years of hands-on experience in the big data domain with a proven track record of solving complex data challenges. Demonstrated success in driving and delivering solutions to challenging data-related problems. Expertise in semi-structured data, data processing pipelines, data modeling, and OLAP solutions. A solid educational background in STEM (Science, Technology, Engineering, Mathematics), preferably Masters in Computer Science or above. Excellent logical thinking and problem-solving skills. A natural curiosity with the ability to navigate uncertainty and a keen attention to detail.
Lead the design and development of high-performance, real-time, data-intensive applications for the trading domain. Leverage AI coding tools as part of your daily engineering workflow to accelerate delivery and code quality. Drive future-proof innovative data solutions to solve problems at scale. Lead projects with an Agile mindset, ensuring timely delivery and continuous improvement. Collaborate cross-functionally with product managers, Front End, QA and Infra engineers to get things done. Uphold best practices in code quality, performance optimization, and data management are upheld across the team. Mentor and support junior engineers, helping them grow their technical expertise.